Improved fault diagnosis method for aero engine rotor-sator rubs

HE Tian; LIU Xian-dong; LI Qi-han

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Improved fault diagnosis method for aero engine rotor-sator rubs

更新时间：2026-07-07

- Improved fault diagnosis method for aero engine rotor-sator rubs
- Vol. 23, Issue 6, (2008)
- 作者机构：
  
  1. 北京航空航天大学能源与动力工程学院,北京,100083
  2. 北京航空航天大学交通科学与工程学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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HE Tian, LIU Xian-dong, LI Qi-han. Improved fault diagnosis method for aero engine rotor-sator rubs[J]. 2008, 23(6).
DOI：

HE Tian, LIU Xian-dong, LI Qi-han. Improved fault diagnosis method for aero engine rotor-sator rubs[J]. 2008, 23(6). DOI：

摘要

针对航空发动机碰摩故障的实际情况

分析了各种诊断方法的应用局限性

引入并改进适用于航空发动机碰摩诊断的基于SVD(奇异值分解)的碰摩特征提取方法:提出利用数据边界延拓来消除边界振荡

以此发展了适合短时间序列和长时间序列的奇异值分解处理方法

并探讨了简便实用的奇异值选择方法.并在某航空发动机故障信号的检测中

取得了良好的效果.

Abstract

In view of actual conditions of aero engine's rub-fault

the application limitations of variant diagnosis methods were analyzed.Aboundary extension method was presented for restraining the ending effect of the reconstructive signals;and an improved method was adapted to process both short time series and long time series based on singularity value decomposition and the boundary extension method.The selective method of singularity values for reconstruction was also discussed.Then the vibrating signals of certain aero engine were analyzed

showing good detection results of fault signals of a certain Aero-engine.

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Method for locating rub fault of rotor-stator based on acoustic emission beamforming

Method for diagnosing rub fault of rotor-stator based on differences of singularly values

Improved Hilbert-Huang transform and its application in rotor-stator rub

Research on sensor fault diagnosis for a given turbofan engine based on SVR

Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion

Related Author

HE Tian

LIU Yao-guang

CHEN Ya-nong

HE Tian

LIU Xian-dong

SHAN Ying-chun

LI Ben-wei

FAN Zhao-yuan

Related Institution

China Aviation Powerplant Research Institute, Aviation Industry Corporation of China

Department of Automobile Engineering, Beijing University of Aeronautics and Astronautics

Department of Airborne Vehicle Engineering, Naval Aeronautical Engineering Institute

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

The Engineering Institute, Air Force Engineering University

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